Course Content
Topic 1: Introduction to Python
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Lesson 1.1: What is Python and Why Learn It?
Lesson 1.2: Writing Your First Python Program
Module 2: Variables and Data Types
🎯 Module Objective: To help learners understand how to store, manage, and work with different types of data in Python using variables, and how to recognize and convert between data types.
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Lesson 2.1: Variables and Assignment
Lesson 2.2: Data Types in Python
Lesson 2.3: Type Conversion and Input
Topic 3: Control Flow
🎯 Module Objective This module introduces learners to Python operators used in calculations, comparisons, and logic. Learners will understand how expressions are evaluated and how to build logical conditions using operators.
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Lesson 3.1: Arithmetic Operators
Lesson 3.2: Comparison and Logical Operators
Module 4: Control Flow
🎯 Module Objective: This module introduces the concept of decision-making and repetition in Python programs using: if-else statements for loops while loops break, continue and basic loop control
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Lesson 4.1: If-Else Statements
🔁 Lesson 4.2: Loops (For and While)
🔂 Lesson 4.3: Break and Continue in Loops
Module 5: Functions
🎯 Module Objective: This module helps learners understand how to organize code using functions. They’ll learn how to: Create and call functions Use parameters and return values Understand the concept of scope Get introduced to recursion
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🔧 Lesson 5.1: Defining and Calling Functions
🔁 Lesson 5.2: Scope and Recursion
Module 6: Lists and Tuples
🎯 Module Objective: This module introduces learners to two important data collection types in Python — lists and tuples. Learners will: Create, access, and modify lists Use list methods like append(), remove(), sort() Understand the difference between mutable (lists) and immutable (tuples)
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🧺 Lesson 6.1: Introduction to Lists
🔒 Lesson 6.2: Tuples and Immutability
Module 7: Dictionaries and Sets
🎯 Module Objective: This module introduces two powerful Python data types: Dictionaries: for storing key–value pairs Sets: for storing unordered, unique items Learners will: Understand the syntax and usage of dictionaries and sets Perform operations like adding, removing, updating Use dictionary methods (get(), update(), keys(), values())
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🗂️ Lesson 7.1: Python Dictionaries
🔣 Lesson 7.2: Python Sets
Module 8: File Handling
🎯 Module Objective: This module introduces learners to the basics of file handling — reading from and writing to text files using Python. Learners will: Open and read from a file Write to and append content in a file Use the with statement for safe file handling
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📂 Lesson 8.1: Reading and Writing Files
🛠️ Module 9: Error Handling in Python
🎯 Module Objective: This module introduces learners to error handling in Python — a critical skill for writing stable and reliable programs. Learners will: Understand what exceptions are Learn how to use try, except, else, and finally Handle common Python errors (e.g., ZeroDivisionError, ValueError, FileNotFoundError) Write code that doesn’t crash when unexpected issues occur
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🛑 Lesson 9.1: Try-Except Block
Module 10: Final Project
🎯 Module Objective: To help learners consolidate and apply all the skills they’ve gained throughout the course by building a small, real-world project. Upon successful completion, learners can earn a course completion certificate via Tutor LMS.
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🗂️ Lesson 10.1: Option 1: Student Report Card Generator
📅 Lesson 10.2: Option 2: To-Do List Manager (with File Storage)
🧮 Lesson 10.3: Option 3: Simple Calculator App
Lesson 10.4: Course Recap
Python for Absolute Beginners: From Zero to Hero
About Lesson

🎯 Learning Objectives

By the end of this lesson, learners will be able to:

  • Create and use dictionaries in Python

  • Access, add, update, and remove key–value pairs

  • Use common dictionary methods: .get(), .update(), .pop(), .keys(), .values(), .items()

  • Understand real-world use cases for dictionaries

📚 Lesson Content

🔹 What is a Dictionary in Python?

A dictionary is a collection of key–value pairs.

  • Keys must be unique and immutable

  • Values can be of any type

  • Dictionaries are unordered (until Python 3.6) and mutable

Syntax:

python
student = {
"name": "Radha",
"age": 12,
"grade": "A"
}

🔸 Accessing Values

python
print(student["name"]) # Output: Radha

✅ If the key doesn’t exist, this will raise a KeyError.

Use .get() to avoid errors:

python
print(student.get("marks", "Not Available")) # Output: Not Available

🔸 Adding or Updating Values

python
student["age"] = 13 # Update existing key
student["school"] = "AB School" # Add new key-value pair

🔸 Removing Items

python
student.pop("grade") # Removes 'grade' key
del student["age"] # Removes 'age' key

🔸 Dictionary Methods

Method Description Example
.get(key) Returns value or default if not found student.get("age", 0)
.update() Updates one dictionary with another student.update({"age": 14})
.pop(key) Removes key and returns its value student.pop("grade")
.keys() Returns a view of all keys student.keys()
.values() Returns a view of all values student.values()
.items() Returns all key–value pairs student.items()

🔄 Looping Through a Dictionary

python
for key in student:
print(key, "→", student[key])

Or:

python
for key, value in student.items():
print(key, value)

✅ Real-World Use Cases

  • Storing student profiles, product info, API data

  • Working with JSON or external data files

  • Fast lookup using keys

🧠 Mini Practice

python
book = {
"title": "Bhagavad Gita",
"author": "Vyasa",
"pages": 700
}

book["language"] = "Sanskrit"
book.pop("pages")
print(book.get("translator", "Not specified"))

📝 Assignment

  1. Create a dictionary named person with keys: name, age, city.

  2. Add a new key: country with any value.

  3. Update the city.

  4. Remove the age key.

  5. Loop through and print each key-value pair.

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